Skip to main content

Standard tests for LangChain implementations

Project description

langchain-tests

This is a testing library for LangChain integrations. It contains the base classes for a standard set of tests.

Installation

We encourage pinning your version to a specific version in order to avoid breaking your CI when we publish new tests. We recommend upgrading to the latest version periodically to make sure you have the latest tests.

Not pinning your version will ensure you always have the latest tests, but it may also break your CI if we introduce tests that your integration doesn't pass.

Pip:

```bash
pip install -U langchain-tests
```

Poetry:

```bash
poetry add langchain-tests
```

Usage

To add standard tests to an integration package's e.g. ChatModel, you need to create

  1. A unit test class that inherits from ChatModelUnitTests
  2. An integration test class that inherits from ChatModelIntegrationTests

tests/unit_tests/test_standard.py:

"""Standard LangChain interface tests"""

from typing import Type

import pytest
from langchain_core.language_models import BaseChatModel
from langchain_standard_tests.unit_tests import ChatModelUnitTests

from langchain_parrot_chain import ChatParrotChain


class TestParrotChainStandard(ChatModelUnitTests):
    @pytest.fixture
    def chat_model_class(self) -> Type[BaseChatModel]:
        return ChatParrotChain

tests/integration_tests/test_standard.py:

"""Standard LangChain interface tests"""

from typing import Type

import pytest
from langchain_core.language_models import BaseChatModel
from langchain_standard_tests.integration_tests import ChatModelIntegrationTests

from langchain_parrot_chain import ChatParrotChain


class TestParrotChainStandard(ChatModelIntegrationTests):
    @pytest.fixture
    def chat_model_class(self) -> Type[BaseChatModel]:
        return ChatParrotChain

Reference

The following fixtures are configurable in the test classes. Anything not marked as required is optional.

  • chat_model_class (required): The class of the chat model to be tested
  • chat_model_params: The keyword arguments to pass to the chat model constructor
  • chat_model_has_tool_calling: Whether the chat model can call tools. By default, this is set to hasattr(chat_model_class, 'bind_tools)
  • chat_model_has_structured_output: Whether the chat model can structured output. By default, this is set to hasattr(chat_model_class, 'with_structured_output')

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

langchain_tests-0.3.1.tar.gz (17.2 kB view details)

Uploaded Source

Built Distribution

langchain_tests-0.3.1-py3-none-any.whl (22.4 kB view details)

Uploaded Python 3

File details

Details for the file langchain_tests-0.3.1.tar.gz.

File metadata

  • Download URL: langchain_tests-0.3.1.tar.gz
  • Upload date:
  • Size: 17.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for langchain_tests-0.3.1.tar.gz
Algorithm Hash digest
SHA256 9a221351f4c9de00d0c731e80d2dd3281ef3ba0786193d7a566a70d480cc109f
MD5 59fd0cbda1a1ba02f2263ee74bf44114
BLAKE2b-256 1f88fab4f71b3451c72895bbe8ef383758e935c47a0ea444d6f897bc3d645d9a

See more details on using hashes here.

File details

Details for the file langchain_tests-0.3.1-py3-none-any.whl.

File metadata

File hashes

Hashes for langchain_tests-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 c62fc827247ec0a1ec73303cda8062b84581663d8f9c6e6081b1362ff822f538
MD5 f4f9dd6185dd770bb2d65319510043ec
BLAKE2b-256 fac18402d4bf9eec49239d09de2028f3ef1d864a572a19d70d9f35af453526aa

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page